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Switch vs Object Literal v230230223
(version: 0)
Comparing performance of:
Switch vs Object
Created:
3 years ago
by:
Guest
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Tests:
Switch
const input = 10; switch(input) { case 1: return true; case 2: return true; case 3: return true; case 4: return true; case 5: return true; case 6: return true; case 7: return true; case 8: return true; case 9: return true; case 10: return true; default: return 11; }
Object
const input = 10; const mapping = { '0': true, '1': true, '2': true, '3': true, '4': true, '5': true, '6': true, '7': true, '8': true, '9': true, '10': true, } return mapping[input];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
Switch
Object
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared, and considered. **What is being tested?** The benchmark compares two approaches to switch on a constant value: 1. **Switch statement**: This approach uses a traditional `switch` statement with multiple cases to check the value of the input variable. 2. **Object literal lookup**: This approach uses an object literal (`{ ... }`) to map values to their corresponding boolean results. **Options being compared** The two options are compared in terms of performance, specifically: * **Execution frequency**: How often each option is executed per second (measured in `ExecutionsPerSecond`). * **Browser-specific variations**: The benchmark runs on multiple browsers and platforms, which may introduce variations in performance due to differences in implementation or optimization. **Pros and cons of each approach** **Switch statement:** Pros: * Easy to understand and implement for simple cases. * May be optimized by the compiler/interpreter. Cons: * Can lead to longer execution paths if there are many cases or long case bodies. * May not be as efficient as other approaches for very large inputs or complex logic. **Object literal lookup:** Pros: * Often faster than traditional `switch` statements, especially for small to medium-sized input sets. * Can be more concise and easier to read for simple cases. Cons: * Requires an additional data structure (the object) to store the mappings, which may incur memory overhead. * May not be as efficient for very large inputs or complex logic. **Other considerations** * **Memory access patterns**: The benchmark's performance might be influenced by the order and frequency of memory accesses in each approach. Object literal lookup may exhibit better cache locality than traditional `switch` statements. * **Compiler/interpreter optimizations**: Modern JavaScript engines often optimize `switch` statements using techniques like speculative execution or register allocation. However, object literal lookup might not benefit from these optimizations to the same extent. **Library usage** In this benchmark, no specific libraries are used beyond standard JavaScript features and built-in objects (e.g., `Object`). If a library was used, it would be mentioned in the "Script Preparation Code" or "Html Preparation Code" fields, but none are present here. **Special JS features or syntax** The only special feature is the use of an object literal (`{ ... }`) for mapping values to their corresponding boolean results. This is a standard JavaScript feature and not specific to any particular library or syntax. **Alternatives** Other approaches that might be compared in a similar benchmark could include: * **String table lookup**: Similar to object literal lookup, but using a string table instead of an object. * **Array-based lookups**: Using arrays instead of objects to store the mappings. * **Regular expressions**: Using regular expressions to match and extract values from input strings. * **Compiled functions**: Compiling the `switch` statement or object literal lookup into native machine code for better performance. These alternatives might be compared to determine which approach is most efficient, concise, or maintainable in different scenarios.
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